Factors Predicting Length of Hospital Stay in Acute Stroke Patients Admitted in a Rural Tertiary Care Hospital

Saxena, Amrish; Naresh, Ram; Prasad, AN; Verma, Khushboo; Saxena, Shalini

doi:10.4172/2167-7182.s5-003

Cited by 17 publications

(23 citation statements)

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“…However, despite this, the presence of hypertension was not significantly associated with average LOS. In agreement with our findings, a study by Saxena et al [23] reported that the presence of hypertension was not statistically associated with the average LOS among stroke victims in their study. Our study findings, however, were in contrast with findings from numerous other studies, which showed that hypertension was associated with a longer LOS.…”

Section: Discussionsupporting

confidence: 92%

Factors Associated With Length of Stay for Patients With Stroke in Malaysia

Ismail

Reffien

Ibrahim

et al. 2020

Global Journal on Quality and Safety in Healthcare

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Introduction Globally, stroke continues to become a significant public health issue contributing to one of the significant causes of morbidity and mortality. The study aimed to describe the characteristics of patients with stroke who were admitted to a teaching hospital in Malaysia and to determine the factors associated with length of stay (LOS). Methods This is a single-center, cross-sectional study using in-patient data maintained by the Case-Mix Unit of a teaching hospital in Malaysia from 2016 to 2017. The study included all patients with International Classification of Disease (ICD) code 164 (stroke, not specified as hemorrhage or infarct). The significance of association was determined using nonparametric tests in the form of the Mann-Whitney U test and the Kruskal-Wallis test. Results A total of 162 stroke patients from 2016 to 2017 from Case-Mix database were included in the study. The age ranged from 31 to 97 years old. The minimum and maximum LOS for patients with stroke ranged from 1 to 17 days. The severity of illness was found to be significantly associated with longer LOS (p < 0.001); however, age, sex, and presence of co-morbidities did not show any significant association. Conclusion Despite its limitations, this study is an essential first step to examine the characteristics of patients with stroke and to determine the factors associated with LOS.

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Section: Discussionsupporting

confidence: 92%

Factors Associated With Length of Stay for Patients With Stroke in Malaysia

Ismail

Reffien

Ibrahim

et al. 2020

Global Journal on Quality and Safety in Healthcare

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“…Saxena et al . [ 11 ] examined 55 consecutive stroke patients in a rural hospital. This study did not find that either the National Institutes of Health Stroke Scale (NIHSS) nor mRS was a statistically significant factor in prolonged LOS in their population.…”

Section: Discussionmentioning

confidence: 99%

Predictive model of length of stay and discharge destination in neuroscience admissions

Stecker

Falotico

2017

Surg Neurol Int

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Background:The purpose of this study was to try and determine the best predictors of hospital length of stay and discharge destination in patients admitted to a neuroscience service.Methods:Valid data was collected for 170 patients. Variables included age, gender, location prior to admission, principle diagnosis, various physiological measurements upon admission, comorbidity, independence in various activities of daily living prior to admission, length of stay, and disposition upon discharge. Study design was a correlational descriptive study performed through the analysis of data and the development and validation of statistically significant factors in determining the length of stay.Results:All factors with a strong (P < 0.05) relationship with the length of stay were entered into a forward stepwise linear regression with length of stay as the dependent variable. The three most significant variables in predicting length of stay in this study were admission from an outpatient setting, modified Rankin score on admission, and systolic blood pressure on admission.Conclusions:Functional status at admission, specifically, a higher modified Rankin score and a lower systolic blood pressure along with the acquisition of deep vein thrombosis, catheter associated urinary tract infections, intubation, and admission to an intensive care unit all have a statistically significant effect on the hospital length of stay.

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“…Usia, jenis kelamin, ada komorbid (diabetes melitus, hipertensi, penyakit jantung iskemik), merokok, alkohol, urine output, asidosis metabolik, hemoglobin, nilai kreatinin dan ureum serum pada saat pertama terdiagnosis AKI diketahui tidak berpengaruh secara signifikan terhadap lama rawat pasien AKI. 25 Beberapa modalitas RRT sudah digunakan dalam penatalaksanaan AKI. 26 Salah satu penelitian multicenter menyatakan bahwa modalitas RRT yang sering digunakan untuk penatalaksanaan AKI adalah CRRT (80%), IHD (16,9%), dan SLEDD (3,2%).…”

Section: Pembahasanunclassified

Angka Kejadian, Lama Rawat, dan Mortalitas Pasien Acute Kidney Injury di ICU RSUP Dr. Hasan Sadikin Bandung

Wang¹,

Pradian²,

Kestriani³

2020

jap

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Angka kejadian acute kidney injury (AKI) di ICU tergolong tinggi dengan penyebab utama adalah sepsis dan menjadi salah satu faktor yang memengaruhi lama rawat dan mortalitas pasien di ICU. Angka kejadian, lama rawat, dan mortalitas AKI pada ICU di Indonesia belum diketahui. Tujuan penelitian ini mengetahui angka kejadian AKI, lama rawat dan mortalitas pasien AKI di ICU RSUP dr Hasan Sadikin pada tahun 2018. Penelitian ini merupakan penelitian deskriptif yang dilakukan pada 148 pasien yang dirawat di ICU RSUP dr. Hasan Sadikin Tahun 2018. Diagnosis AKI ditentukan melalui kriteria KDIGO dengan melihat peningkatan kreatinin serum dan penilaian urine output. Penelitian ini dilakukan mulai September 2019 sampai Februari 2020. Pada penelitian ini diperoleh sebanyak 61 pasien (41,2%) dengan diagnosis AKI, mayoritas pasien didiagnosis AKI tahap 3 yaitu sebanyak 32 pasien (53%). Sebanyak 14,8% pasien mendapatkan renal replacement therapy (RRT. Rerata lama rawat pada pasien AKI di ICU, yaitu 9,4±7,2 hari dan mortalitas sebesar 77%. Simpulan, angka kejadian AKI di ICU RSUP Dr. Hasan Sadikin Bandung tergolong tinggi, yaitu 41,2% serta mortalitas yang juga tinggi, yaitu 77%.

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Factors Predicting Length of Hospital Stay in Acute Stroke Patients Admitted in a Rural Tertiary Care Hospital

Cited by 17 publications

References 0 publications

Factors Associated With Length of Stay for Patients With Stroke in Malaysia

Factors Associated With Length of Stay for Patients With Stroke in Malaysia

Predictive model of length of stay and discharge destination in neuroscience admissions

Angka Kejadian, Lama Rawat, dan Mortalitas Pasien Acute Kidney Injury di ICU RSUP Dr. Hasan Sadikin Bandung

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